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Geospatial Data Engineer Remote Jobs in Los Altos, CA

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of SQL and limited on Tableau. Required Skills: Data Engineering Expertise: * Experienced in building and ...

Sequoia Connect

Junior Data Engineer

Mountain View, CA · Remote

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Sequoia Connect

Junior Data Engineer

Mountain View, CA · On-site +1

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Jj

Comm Ops Data Engineer - Shockwave Medical

Santa Clara, CA · On-site +1

$79K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Engineering Job Category: Scientific/Technology All Job Posting Locations: Santa Clara ... The position is FULLY REMOTE and can sit anywhere in the US . At Johnson & Johnson, we believe ...

Crunch

Python Systems Engineer (Remote)

Redwood City, CA · On-site +1

We offer a survey data analysis platform that allows market researchers, analysts, and marketers to ... We are inviting you to join our small, fully remote team of developers and operators helping make ...

Sequoia Connect

Senior AWS Data Engineer

Mountain View, CA · On-site +1

$125K - $169K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

Sequoia Connect

Senior AWS Data Engineer

Mountain View, CA · Remote

$108K - $147K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

Axiom Cloud

Software Engineer (Fully Remote)

San Jose, CA · On-site +1

  • PTO

SOFTWARE ENGINEER Remote (Pacific Hours) axiomcloud.ai 510-683-5200 Axiom Cloud is transforming how ... Collaborate with hardware, controls, modeling, and data science teams to develop innovative, AI ...

Vianai Systems

Customer Engineer (Remote)

Palo Alto, CA · Remote

$140K - $180K/yr

Collaborate with a diverse team of Designers, Developers, Engineers, Data Scientists both internally and with our customers. * Perform hands-on and in-depth investigations /debugging at all levels of ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Los Altos, CA

Geospatial Data Engineer Remote information

See Los Altos, CA salary details

$52.7K

$153.6K

$210.2K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for geospatial data engineer remote in Los Altos, CA is $153,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,600.00 and $162,800.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the most commonly searched types of Geospatial Data Engineer jobs in Los Altos, CA?

The most popular types of Geospatial Data Engineer jobs in Los Altos, CA are:

What are popular job titles related to Geospatial Data Engineer Remote jobs in Los Altos, CA?

For Geospatial Data Engineer Remote jobs in Los Altos, CA, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Los Altos, CA look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Los Altos, CA are:

What cities near Los Altos, CA are hiring for Geospatial Data Engineer Remote jobs?

Cities near Los Altos, CA with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

Staff Software Engineer - Data Infrastructure

Array Labs

Redwood City, CA • On-site, Remote

$150K - $300K/yr

Full-time

Re-posted 10 days ago

Job description

About Us

Array Labs is building a new way to understand the physical world.

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow refresh cycles, or narrow-area surveys. The world increasingly needs something better: accurate, frequently updated 3D information about the places, infrastructure, terrain, and activity that shape human decisions.

Array is building that system. We are developing a coordinated fleet of radar satellites designed to create high-resolution 3D data products of the Earth at unprecedented scale, speed, and reliability. Our technology is built to work across wide areas, through clouds, day and night, and to support both commercial and government customers operating in environments where timely physical-world understanding matters.

We design and build our satellites, radar payloads, sensing systems, and data products end-to-end. Our goal is to make 3D geospatial intelligence dramatically more accessible, useful, and operationally relevant for customers in mapping, infrastructure, disaster response, defense, intelligence, energy, telecommunications, mining, and other industries that depend on understanding the changing Earth.

About the Job
As Staff Software Engineer for data infrastructure, you will own the design and implementation of the systems that process, store, and serve our satellite constellation’s data to end-users. You will build highly reliable backend infrastructure that handles petabytes of data annually. The position will work closely with scientists, satellite systems engineers, and the product team.

As part of our quickly growing engineering team, you will play a critical role in the design of the world’s most advanced radar satellite constellation—one that will significantly improve humanity’s ability to rapidly and comprehensively understand our changing planet.

Responsibilities
  • Design and implement scalable distributed systems for processing and analyzing massive datasets from our satellite constellation.
  • Develop and optimize database schemas and storage solutions for managing petabyte-scale 3D geospatial data.
  • Architect and maintain high-performance APIs and services for efficient geospatial data streaming, querying, and analysis.
  • Lead the design and implementation of mechanisms for handling data ingestion, processing, and delivery pipelines.
  • Implement robust monitoring, logging, and operational systems to ensure reliability and performance of backend services.
  • Work with cross-functional teams to define technical requirements, architect solutions, set engineering standards, and drive the backend roadmap in alignment with company goals.
Basic Qualifications
  • 6+ years of backend software engineering experience, including experience with optimization of large-scale data processing pipelines.
  • Strong proficiency in backend languages (e.g., Python, C++, Java), experience with cloud platforms (AWS, GCP, Azure, Terraform) and containerization technologies (e.g. Docker, Kubernetes).
  • Hands-on experience designing and building systems for real-world data (imagery, video, radar, LiDAR, telemetry, and/or other sensors).
  • Experience delivering data and services to external stakeholders.
  • Excellent communicator, with the ability to make high-quality technical decisions in a startup environment.
Preferred Skills & Experience
  • Experience with geospatial technologies: spatial databases, mapping services, 3D visualization techniques, etc.
  • Background in physics, remote sensing, robotics, or digital signal processing.
  • Direct experience operating reliable storage and compute resources at petabyte scale.
  • Time spent building systems from scratch as an early or founding engineer.
Compensation & Benefits
Our hiring and compensation strategy is simple: find uncommonly good people and pay them uncommonly well.
 
We offer high flexibility between salary and equity-based compensation. Final candidates can choose from three compensation mixes: low, medium, or high equity. Equity is a significant component of total compensation, and we aim to provide meaningful ownership for this role.
 
Full-time employees also enjoy a comprehensive benefits package including health, dental, vision, a 401(k) with company match, commuter benefits, and more.
 
 
Interview Process
We will conduct interviews via Google Meet with the potential for an onsite visit; the typical process takes around 3-5 weeks to complete from start to finish.
 
 
Why Join Array
At Array Labs, deep technical expertise meets relentless impact. We prioritize curiosity over hierarchy and bold engineering over incremental gains. Our world-class team across hardware engineering, software, and aerospace works collaboratively to push boundaries and move fast.
 
Our values:
  1. Build What Matters: Create technology that serves customers and advances humanity
  2. Innovate Together: Stay curious, collaborate openly, push boundaries as one team
  3. Employee Centric: Put our people first with a culture of trust, respect, and opportunity
  4. Join industry-leading experts to deliver unprecedented insights about our planet and build the future of Earth observation.
 
ITAR Requirements
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
 
Equal Opportunity Employer
Array Labs is an Equal Opportunity Employer. Employment decisions are made on the basis of merit, competence, and job qualifications and will not be influenced in any manner by gender, color, race, ethnicity, national origin, sexual orientation, religion, age, gender identity, veteran status, disability status, marital status, mental or physical disability or any other legally protected status.
 
If you require a reasonable accommodation during the application or interview process, please let us know.